Total 1,345 service engineer job vacancies in Maintenance / Repair category in Singapore

Escalator Technician

Office Location: Yishun / Travel Customer Site

Working Hours: 8:30 am–5:30 pm

Working days: 5.5 Days (Monday to Friday, Saturday half day)

Salary: $1600 - $1800

Responsibilities:

• Installs, maintains, and repairs escalator equipment, controls and circuits. Ensures work is in accordance with relevant codes
• Maintains and repairs escalators, and similar equipment’s.
• Troubleshoots and locates malfunction of part by using test equipment.
• Reads and interprets schematics.
• Disassembles defective unit and cleans, repairs or replaces of spare parts.
• Operates escalator to determine power demand and tests power consumption to detect overload factors
• Performs other general building maintenance as needed
• Other ad hoc duties

Requirements:

• Experience in Customer Service (calls and correspondents) environment will be an advantage.
• Possesses own transport (Motorbike)

Lee Wan Ling | Reg No: R23116154

THE SUPREME HR ADVISORY PTE LTD | EA No: 14C7279

Job Description:

• Lead a team of technicians to perform tasks for preventive maintenance/ corrective maintenance / overhaul of electronic system
• Write up of daily service report, indent of spares, coordinating of repair work with customer, liaising with customer for work follow-up and any required matters.
• Troubleshooting and resolving technical issues.
• With a scope including but not limited to the above.

Job Requirements:

• Diploma/Degree in Engineering field, prefer Electrical/ Mechatronics/ Mechanical Engineering
• Require working hands-on on electrical/ mechanical/ hydraulic system.
• Prefer candidate to possess class 3 driving license.
• Must be self-motivated and positive
• Able to sail for at least 2 to 5 days

*Working Location: Tuas & Changi

• Support the organization's data Centre services through active 24x7 monitoring of the infrastructure
• Perform 24x7 monitoring of BMS systems (upstream to downstream), critical facilities equipment, and other equipment associated with the data center environment including fire safety, plumbing, mechanical, and electrical systems.
• Coordinate and provide support to contractors and vendors as well as inspecting completed work. Follow the implementation of data center safety, security, and customer support policy and procedures.
• Plan and support all preventive and reactive maintenance activities with little to no disruption to company's services
  

Requirements

• ITE Certificate or Diploma in Electrical/Mechanical Engineering or related field
• Min 1 year of relevant work experience in 24x7 DC or facility operations environment
• Broad knowledge in DC facilities related systems such as PDUs, UPS, DC Rectifier, DRUPs, CRAUs, DX cooling, fire protections, etc
• Shift schedule is 12 hours rotational (8am to 8pm)/ (8pm to 8am) | 3 days work 2 days off including weekends/public holidays.
  

Interested candidates, who wish to apply for the advertised position, please email us an updated copy of your resume.We regret that only shortlisted candidates will be notified.

CODE: PRIT

EA License No.: 01C4394

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Employer questions

• Responsible for corrective and preventive maintenance of plant machinery and monitoring of critical spare parts.
• Carry out corrective maintenance on plant machines.
• Support on preventive maintenance and machine repair.
• Attend to machines installation, modification, safety items, laboratory equipment, etc.
• Identify and carry out improvement items for machines.
• Liaise with machine agents for repair or maintenance of machines.

Requirements:

• Degree in Electrical/Electronic or Mechanical Engineering
• Prefer 2-3 year(s) of experience in maintenance/repair of machine in a manufacturing environment.
• Good trouble shooting, presentation and analytical skills.
• Good knowledge of PLC programming skills.
• Self-disciplined, independent and able to work under pressure.
• Able to communicate with all levels of staff.
• Able to commit to 12 hours shift work.

Manufacturing Industry

Loyang Area

Interested Applicants, kindly email your detailed resume to [email protected]

Tempserv Pte Ltd

License No : 06C3745

Audris Teo/ EA Personnel No: R1102063

Summary

The APAC Business Technology Team within Johnson & Johnson Innovative Medicine, is looking for an extraordinary machine learning engineer who is passionate about crafting, developing, and fielding data science solutions that drive impact for HCP (Health Care Professional) and patients.

As the regional machine learning engineer, you will be responsible for designing and building the machine learning engineering solutions across the region. You will leverage your technical expertise, experience, and communication skills to work across business & technology teams productionize innovative data science models and applications. Your technical knowledge and ability to apply them, will be paramount to your success in this role. Focus areas include (but not limited) to patient analytics, commercial strategy, and patient support program analytics. Specifically, you will build end-to-end machine learning pipelines by developing and applying creative solutions that go beyond current tools and work together with data scientist to deliver scalable, reusable, extensible and flexible solution.

• Deliver end to end machine learning applications for our key projects across the region.
• Execute the regional machine learning engineering strategy including people, technology, platforms, and process.
• Collaborate with platform teams and solution architect to evolve our big data platforms and evaluate various data science technologies and services.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

You will be someone who stays on the cutting edge of artificial intelligence, data science and software engineering through novel project execution and development of algorithms that improve organizational performance and commercial effectiveness. The role requires both a broad knowledge of existing software development lifecycle, AI algorithms and the creativity to invent and customize when necessary. You will work with matrixed teams across business and technology, and will be part of a dynamic, accomplished organization that will support multiple therapeutic areas.

Responsibilities

Build and Own Machine Learning Solutions:

• Collaborate with data scientist and other technology teams to design and build machine learning engineering solution for the region.
• Establish and maintain ML pipelines to automate the training, testing, and deployment of AI models
• Implement CI/CD practices to ensure continuous integration and delivery of AI solutions.
• Monitor and manage the lifecycle of deployed models, ensuring they meet performance and reliability standards.

Cloud AI Solutions (AWS and Azure):

• Architect and implement scalable AI solutions on cloud platforms such as AWS and Azure.
• Utilize cloud services to manage and deploy AI models, ensuring high availability and performance.

Research and Innovation:

• Stay updated with the latest advancements in data science, cloud technologies, and MLOps practices, and bring them to the team.
• Drive innovation by exploring new tools, techniques, and methodologies to improve AI capabilities and efficiencies

Qualifications

Required Minimum Education: Bachelor’s degree

Required Years of Related Experience: At least 5 years' professional experience is required with at least 3 years of production grade machine learning model development experience.

• Minimum 3 years of experience in Machine Learning and MLOps, developing end-to-end machine learning solutions. Must have proven ability to take solutions to production, while effectively monitoring and maintaining them.
• Over 6+ years of experience in the software engineering lifecycle as a developer, with a focus on writing production code.
• Excellent programming skills in Python and proficiency in PySpark.
• Must have hands-on experience working with software development toolkits and devOps automations like Kubernetes, Airflow, Jenkins, Jira, Confluence, and Git.
• Strong working knowledge of deep learning and machine learning techniques such as regression, decision trees, Bayesian models, clustering etc.
• Hands-on experience working with cloud solutions, specifically AWS and Azure.
• Experience in Databricks, Azure ML, AWS Sagemaker is a plus.
• Excellent communication skills and a demonstrated ability to collaborate effectively with cross-function teams.
• Self-motivated and highly driven individual who thrives under ambiguous requirements

Summary

The APAC Business Technology Team within Johnson & Johnson Innovative Medicine, is looking for an extraordinary GenAI and Machine Learning Engineering Lead who is passionate about crafting, developing, and fielding data science solutions that drive impact for HCP (Health Care Professional) and patients.

As the regional Gen AI and Machine Learning engineer, you will be responsible for designing and building GenAI and machine learning engineering solutions across the region. You will leverage your technical expertise, experience, and communication skills to work across business & technology teams productionize innovative data science models and applications. Your technical knowledge and ability to apply them, will be paramount to your success in this role. Focus areas include (but not limited) to patient analytics, commercial strategy, and patient support program analytics. Specifically, you will build end-to-end machine learning pipelines by developing and applying creative solutions that go beyond current tools and work together with data scientist to deliver scalable, reusable, extensible and flexible solution.

• Deliver end to end GenAI and machine learning applications for our key projects across the region.
• Execute the regional GenAI strategy including people, technology, platforms, and process.
• Collaborate with platform teams and solution architect to evolve our big data platforms and evaluate various data science technologies and services.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

You will be someone who stays on the cutting edge of artificial intelligence, data science and software engineering through novel project execution and development of algorithms that improve organizational performance and commercial effectiveness. The role requires both a broad knowledge of existing software development lifecycle, AI algorithms and the creativity to invent and customize when necessary. You will work with matrixed teams across business and technology, and will be part of a dynamic, accomplished organization that will support multiple therapeutic areas.

Responsibilities

GenAI Solution Architecture Design and Implementation

• Lead a team of AI engineers, and DevOps specialists to design, develop, and optimize Generative AI architectures tailored to specific use cases and business requirements.
• Collaborate with data scientist to drive the end-to-end implementation of GenAI models, including training, fine-tuning, and deployment.

Prompt Engineering

• Collaborate with data scientists to create and refine prompts for various AI applications
• Develop advanced prompt engineering techniques to enhance the performance and accuracy of GenAI models.

Machine Learning Solution build and deployment:

• Collaborate with data scientist and other technology teams to design and build machine learning engineering solution for the region.
• Establish and maintain ML pipelines to automate the training, testing, and deployment of AI models.
• Implement CI/CD practices to ensure continuous integration and delivery of AI solutions.
• Monitor and manage the lifecycle of deployed models, ensuring they meet performance and reliability standards.

Cloud AI Solutions (AWS and Azure):

• Architect and implement scalable AI solutions on cloud platforms such as AWS and Azure.
• Utilize cloud services to manage and deploy AI models, ensuring high availability and performance.

Research and Innovation:

• Stay updated with the latest advancements in Generative AI, cloud technologies, and MLOps practices, and bring them to the team.
• Drive innovation by exploring new tools, techniques, and methodologies to improve AI capabilities and efficiencies.

Qualifications

Required Minimum Education: Bachelor’s degree

Required Years of Related Experience: Minimum of 7 years professional experience is required with a minimum of 5 years building machine learning model development is preferred

• Proven track record in designing and building GenAI solutions, with a strong expertise in prompt engineering, LlamaIndex, Langchain, RAG, AI red teaming libraries, LLM monitoring and evaluation.
• Minimum 4+ years of experience in Machine learning engineering and MLOps, developing end-to-end machine learning pipelines. Must have a proven ability to take solutions to production, while effectively monitoring and maintaining them.
• Over 7+ years of experience in the software development lifecycle as a developer, with a focus on writing production code.
• Must have hands-on experience working with software development toolkits, and devOps automation like Kubernetes, Airflow, Jenkins, Jira, Confluence and Git.
• Excellent programming skills in Python and proficiency in PySpark.
• Experience in DataBricks, AWS Sagemaker and Azure ML is plus.
• Strong leadership skill with ability to influence the thought process and drive alignment.
• Excellent communication skills and a demonstrated ability to collaborate effectively with cross-functional teams.
• Self-motivated and highly driven individual who can thrive in ambiguous requirements.

Job Scope

• Assist in the management of facilities and systems.
• Project management of new building construction
• Maintenance of existing structures
• Develop programmes for planned maintenance and services.
• Manage service partners and contractors
• Provide technical advice to user departments.
• Coordinate Fire Safety and Green Mark related tasks to ensure statutory compliance
• Investigate safety incidents and prepare reports

Requirement

• Bachelor Degree in Mechanical / Mechatronics Engineering

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

** We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

JobStudio Pte Ltd

EA License No: 10C4754

EA Personnel: Pearly Poh

EA Personnel Reg No: R2089904

Your Mission

This position is responsible for planning, coordinating, and executing the overall electrical maintenance of various electrically powered and controlled machinery and equipment.

What To Expect

• Plan and direct preventive maintenance on electrical systems, equipment, and machinery.
• Develop training programs to enhance the capabilities of maintenance engineers and technicians, including relevant technical knowledge and new equipment and technologies.
• Devise and implement continuous improvement plans for manufacturing equipment.
• Allocate and monitor the maintenance budget and expenditures.
• Conduct troubleshooting and maintenance for ad-hoc issues.
• Maintain appropriate inventory and stock levels of spare parts.
• Manage maintenance service suppliers, including machinery maintenance service providers, through regular contracts and other methods to ensure consistent high-quality performance.
• Support the maintenance department in managing key maintenance metrics such as budget, downtime, personnel, preventive maintenance, spare parts, and computer systems.
• Regularly report work status and key metrics.
• Comply with applicable standards (e.g., ISO 9001, ISO 14001, ISO 45001), laws, and internal guidelines.
• Lead and guide maintenance technicians in their work as needed.

What You'll Bring

• Bachelor’s Degree in Electrical Engineering or equivalent.
• 2-5 years of experience in electrical maintenance in the automated manufacturing industry preferred.
• 2-5 years of experience with electrical systems such as motors (SEW, Siemens), circuit breakers (SE), and contactors (SE).
• 2-5 years of experience with control systems such as PLC (Siemens), sensors (IFM, SICK), and relays (Omron).
• Basic to intermediate level in Siemens PLC, industrial ethernet protocols (PROFINET, EtherCAT, MODBUS TCP) and IO-LINK sensors and masters (install, fix, change, and re-setup).
• Basic to intermediate level in installation and setup of Siemens servo drives, inverters, motors and AC induction motors.
• Understanding of electrical wiring schematic drawing tools, power distribution panels, components, and grounding.
• Understanding of electrical systems, equipment, machinery and electropneumatic circuits.
• Knowledge of electrical maintenance and troubleshooting techniques.
• Understanding of SAP preventive and material management modules.
• Proficiency in MS Office skills and AutoCAD.
• Open-minded individual who seeks mutual growth with the company.
• Self-motivated and proactive personality.
• Problem-solving skills with logical thinking.

Job Description:

• Responsible for the projects and addition & alteration works of hospital, medical centre and other associated business unit as instructed by the management
• Track preventive maintenance works and service contracts for the department and support the car park operations
• To assist in projects and addiction & alteration works as assigned by Head of Department or reporting Supervisor
• Facilitate and manage assigned projects within given deadline & budget
• Independent and resourceful. Good problem solving & analytical skills
• Able to work well with people from across different departments and levels
• Support the car park operations
• Assist in any other duties assigned
• Able to manage the work schedule of contractors/ vendors to ensure the work / project within the timeline with minimum disruption to the patients and staff
• Work with colleagues and contractors to ensure al physical plants and equipment are serviced as planned
• Any other duties assigned by the Senior Technician/Engineer/Supervisor.

Interested candidate, kindly send a copy of your resume to [email protected]



Adeline Lim Xin Ying [R23112000]

Email Address: [email protected]

Recruit Express Pte Ltd

EA Licence No: 99C4599

Maintenance Engineer

Our client is a MNC chemical manufacturer company. They are currently seeking for Maintenance Engineer.

The role of the Maintenance Engineer includes:

• Lead the Mechanical team to ensure that industrial machinery and equipment runs smoothly and reliably
• Lead improvements Projects and ensure oversee on task execution to completion.
• Creating maintenance procedures and Work Instruction
• Managing stocks of supplies and equipment
• Keeping records and pull data of faults and repairs history from SAP and prepare analyzation report for reliability action
• Any other duties and responsibilities as assigned from time to time.

Job Requirement:

• Strong mechanical background and basic electrical knowledge
• Have at least 5 working years’ experience in a process plant with maintenance experience
• Minimum diploma in mechanical
• Autonomous, good communication skills, team player, high organizational skills and analytical
• Proficient in MS Office

Interested candidates, please send your detailed resume stating Past Employments, including Reasons of Leaving, Last Drawn Salary for the most recent 2 positions (breakdown of basic salary, allowance, bonuses etc), Expected Basic Salary and availability.

WE REGRET TO INFORM THAT ONLY SHORTLISTED CANDIDATES WILL BE NOTIFIED

Manfield Employment Services Pte Ltd (Lic. No: 95C2823)
Posting Personnel: Win Hui
EA Personnel Reg No.: R23115634

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Let’s talk about the team

Join our Center of Excellence for Generative AI Team as a Senior Machine Learning Engineer (MLE) to advance Generative Artificial Intelligence (Gen AI) and Machine Learning (ML) initiatives that drive our business in an “AI First” approach. ResMed's commitment to improving the lives of sleep apnea patients through our extensive sleep data offers unparalleled opportunities for AI/ML innovation. In this role, you'll spearhead projects that transform patient care, provider experience, and operations efficiencies through AI.

Let’s talk about the role

As a Senior MLE, you'll not only build production-grade generative AI applications, but also develop guardrails, perform model benchmarking, and foster best practices. This involves transforming technical specs into AI/ML systems, encompassing development, testing, and monitoring. You’ll work closely with management, product management, and delivery functions to help develop technical roadmaps. You’ll help drive the adoption of generative AI across the organization by consulting product teams on their generative AI products and communicating the opportunities and limitations of generative AI to a broad audience of stakeholders. You will be working with high-achieving teammates in a global team.

Let's talk about responsibilities

• Work in a high-performing team to design and implement cutting-edge internal and external generative AI products.
• Develop guardrails, benchmarks, and best practices around generative AI.
• Spearhead the creation of POC and MVP applications to demonstrate AI/ML model value.
• Develop and deploy scalable, production-grade AI/ML.
• Facilitate design sessions to address complex AI challenges, offering insights to various company levels.
• Collaborate with cross-functional stakeholders from product management, operations, and data science to develop and deploy scalable production models.
• Mentor junior team members and foster best coding practices.

Let's talk about qualifications and experience

Qualifications

• Either: Masters or PhD in computer science, data science, or other quantitative field and 3+ years of industry experience in Machine Learning Engineering, Data Science, Data Engineering, or related fields.
• Or: 5+ years of industry experience in Machine Learning Engineering, Data Science, Data Engineering, or related fields.
• Extensive experience with Machine Learning systems, including feature/data pipelines, model training, and inference.
• Experience with natural language processing, including text processing, regex, feature engineering, and modeling.
• Expertise in Python coding.
• 5+ years of experience with AWS or other cloud platforms.
• Solid track record of serving ML models in production.

Preferred Qualifications

• Extensive experience in infrastructure tools like Terraform.
• Experience with DevOps (deployments, observability, model monitoring), unit tests, and best coding practices.
• Previous experience with generative AI.
• Advanced knowledge of RESTful APIs, and industry-standard architectural design patterns.

Let’s talk about what you can expect

• A supportive environment that focuses on people's development and best implementation
• Opportunity to design, influence, and be innovative
• Work with inclusive global teams and the open sharing of new ideas. We want your ideas!
• Be supported both inside and outside of the work environment
• The opportunity to build something meaningful and see a direct positive impact on people’s lives!
• Dream big, iterate and experiment to drive innovation.

Education / Experience:

• Degree in IT / Computer Science / Engineering, or equivalent
• Professional certifications in cyber security solutions preferred

Job Description:

• Work experience with maintaining enterprise systems with focus on cyber security
• Troubleshoot reported issue
• Liaise with technology vendors for escalation where required
• Patching and updating of tools and systems
• Prepare incident reports and maintain records of service level agreements for customers
• Maintain technical documentation

Requirements:

• Experience in Operations Support
• Experience in technologies like McAfee, Cisco, Microsoft, Thales
• Managing and executing projects based on endpoint security, data loss prevention and vulnerability management domains.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Your Job:

• Take ML models/algorithms from conception to production, by designing and implementing ML microservices and pipelines in production environment.
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain.
• This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Maintain and continuously optimize live productive ML services with a focus on scalability, availability, and reliability.
• Strive for automation and cloud operation readiness.
• Collaborate with data scientists and data engineers to deliver ML models in productive services.
• Stay updated with the latest trends and technologies in AI/ML, GenAI and MLOps to drive innovation and system enhancements

Required Qualifications:

• Bachelor's degree in computer science or equivalent.
• A minimum of 2 years' experience in software engineering or machine learning engineering is preferred.
• Strong programming skills in Python, Java and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
• Proficiency in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms
• Familiar with Kubernetes and Docker, including installation, deployment, configuration and optimization.
• Good understanding of ML frameworks such as TensorFlow, Keras, PyTorch.
• Experience in web development skills such as HTML, Javascript, CSS is a big plus.
• Knowledge of AWS cloud platform would be an advantage.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

**2 years renewable contract**

*Working location: Riffle range(shuttle bus is provided from Beauty World)

Job Description:

• Plan and supervise renovation, A&A/M&E works on fire protection system, cooling tower, air con, etc.
• Plan and supervise building services such as cleaning, landscaping, waste management, renovation.
• Plan and conduct routine inspection for building/M&E facilities works.
• Ensure contractors/vendors comply with security and safety requirements works.
• Familair with putting up paperworks for works/services to be done by contractors/vendors.
• Perform acceptance of services completed by contractor e.g. pest control, grass cutting, etc.
• Response to emergency call including after office hours e.g. power failure, fire incident, etc.

Job Requirements:

• Diploma in Facilities Management or Mechanical/Electrical Engineering.
• Class 2/3 Driving license (preferred)
• More than 5 years’ experience in Facilities/M&E maintenance.
• May be required to work on weekends for emergency/urgent works

We respect your privacy and all communication will be treated with confidentiality.

If you have meet the job requirements that we are looking for or wish to find out more on this role, please contact us or apply in-confidence to us with you updated MS Word Resume to : kelvin@starcareerconsulting.com

*We regret only shortlisted candidate would be contacted.

Kelvin Lee (Reg. No. R1872625)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

• Responsible for corrective and preventive maintenance of plant machinery and monitoring of critical spare parts.
• Carry out corrective maintenance on plant machines.
• Support on preventive maintenance and machine repair.
• Attend to machines installation, modification, safety items, laboratory equipment, etc.
• Identify and carry out improvement items for machines.
• Liaise with machine agents for repair or maintenance of machines.

Requirements:

• Degree in Electrical/Electronic or Mechanical Engineering
• Prefer 2-3 year(s) of experience in maintenance/repair of machine in a manufacturing environment.
• Good trouble shooting, presentation and analytical skills.
• Good knowledge of PLC programming skills.
• Self-disciplined, independent and able to work under pressure.
• Able to communicate with all levels of staff.
• Able to commit to 12 hours shift work.

Manufacturing Industry

Loyang Area

Interested Applicants, kindly email your detailed resume to [email protected]

Tempserv Pte Ltd

License No : 06C3745

Audris Teo/ EA Personnel No: R1102063

Working days: 5 days

Location: Tuas, West Side

Benefits: AWS, Bonus, Annual leave, etc.

Job Scopes:

• Implement preventive maintenance system and execute maintenance programs as scheduled for plant and machinery
• Lead Maintenance Technicians to troubleshoot, maintain, and repair CNC machines
• Identify spare parts and tools to reduce downtime
• Assist in fabricating tools for production use
• Assign manpower for minor mechanical/electrical repairs in the office building
• Promote and implement safety practices and activities in line with OHSAS and company objectives
• Coordinate and manage sub-contractors for external work
• Perform other duties as assigned by Immediate Supervisors

Requirements:

• Hold a Technical Diploma or have equivalent experience in plant and machinery maintenance
• Prefer to have at least 3 years of experience in a supervisory role

Aurora Asia Pacific (21C0671)|Ying Kee (R21103783)

Roles & Responsibilities

1) Work together with engineering team to prepare to design drawings and shop drawings, termination diagram, raceway, cable routing, ensuring in compliance with all project specifications and design standards.

2) Work together with BIM designer for modelling of cable tray, conduit, busduct, etc.

3) Preparing technical document submissions.

4) Collaborate and communicate effectively with engineering team and main contractor regarding technical and coordination issues. Handle and resolve issues.

5) Attend meetings with main contractor to address issues and provide updates on project progress.

6) Coordinate on the design schedule and coordination of the project design works to ensure design is on schedule.

7) Attend site survey and providing technical supports to site and liaise with other engineer during installation phase.

Job Requirements

1) Degree/ Diploma in Instrumentation and controlEngineering or equivalent.

2) 5 years of working experience in design, construction and project management in Instrumentation and controlengineering.

3) Knowledge in engineering and project coordination.

4) Good interpersonal skills, writing skill and presentation skill and able to work independently.

5) Bilingual (English and Mandarin) is required.

6) Work 5 days per week at site or office.

What is Splore?

Founded and funded by Temasek and Menyala, Splore is a Human Centric AI Platform that elevates and enhances the customer and employee experience, with a focus on revenue acceleration and cost efficiency.

Splore’s proprietary OS is powered by a trust-and-accuracy-focused, continually learning, multi-agent Answer Engine that can respond to complex queries and execute tasks with support for human-in-the-loop.

Splore empowers businesses to unlock the vast potential of not only their information assets but also leverage Splore's proprietary knowledge index and language models, thereby enabling them to make quicker, more informed decisions. Users get fast, relevant, and trusted answers, thereby eliminating the all-too-common frustration of sifting through irrelevant information or waiting for answers.

Crafted by experts in machine learning, distributed systems, and enterprise applications, Splore blends data from the web with proprietary information and enterprise data to provide tailored results.

Our mission is to help elevate human experiences through empathic access to services and information.

What is the role?

We are seeking for a Senior Machine Learning Engineer to join our ML/AI team. In this role, you will oversee the entire ML lifecycle, from translating use cases to developing, deploying, and monitoring machine learning models in production environments. Additionally, you will be responsible for the development, mentorship, and career growth of your team members.

Responsibilities

In this role, you will:

• Business Use Case Translation: Understand business needs and collaborate with the product and sales teams to define ML requirements and execution plans.
• AI Research: Stay updated on the latest AI advancements, especially in generative AI; evaluate potential technologies and apply them to our domain for continuous ML feature upgrades.
• Proof of Concept (POC): Design and customize solutions for customer POCs, and evaluate these solutions using appropriate metrics to demonstrate their value.
• ML Pipeline: Apply suitable SDLC practices to develop and deploy scalable tools and services for managing ML data pipelines, model training, and inferencing.
• ML Tracking and Evaluation: Develop effective tracking mechanisms with relevant data and metrics to continuously monitor ML service performance, and conduct model retraining using appropriate evaluation criteria.
• Technical Leadership: Provide technical guidance to junior ML engineers, ensuring high-quality technical delivery and continuous product improvement.

Attributes

We are looking for a Senior Machine Learning Engineer with the following:

• Dealing with Ambiguity - You thrive in navigating dynamic environments, making informed decisions amid evolving scenarios and comfortably embracing uncertainty.
• Collaborates - We're all about teamwork here. You will work closely with the Product Management and Engineering teams to align long-term AI capabilities and solutions with both business and technical requirements. Strong communication skills are essential for liaising with stakeholders across engineering, product, business, and client teams.
• Nimble Learning - We're looking for someone who thrives in a startup environment. You're not afraid to get your hands dirty and learn through experimentation when faced with fresh challenges. You're always on the pulse of the latest ML trends and immersing yourself in new technologies.
• Functional/ Technical Skills - MS/PhD in Computer Science/Information Technology. (minimum 6+ years’ experience in ML engineering or a related field)
• High proficiency in Python and extensive hands-on experience with DL frameworks such as TensorFlow and PyTorch.
• Expertise in MLOps practices, including continuous training, model deployment, and monitoring.
• In-depth knowledge of software testing, benchmarking, and continuous integration
• Over 5 years of experience working with cloud platforms such as Microsoft Azure, AWS, or GCP, including building custom integrations between cloud-based systems using APIs.
• Ability to translate business needs into technical requirements, with a strong understanding of software testing, benchmarking, and continuous integration.
• Experience with multi-language systems and proficiency in languages like Go, Java, and C++ are advantageous.
  

Job Descriptions:

* Development & Implementation of Instrumentation & Control, Robotic, Building Automation, Industrial Automation, Process Control Application.

* Electrical Control Design

* Implementation of Process Automation, Instrumentation and Control, Testing and Commissioning, Technical Support, Customer Service, PLC Programming, SCADA / HMI programming, Computer and Server, Industrial Networking

* Responsible for design & development, implementation, onsite testing & commissioning, support, documentation and training

* Ad-hoc engineering support to customer when required.

* Willing to work on fast pace environment.

Job Requirements:

* Relevant graduate degree for Engineering (Electrical, Mechanical, Computing, or Mechatronic)

* Min 1-2 yrs experience in good engineering practice, process automation, robotic, service and maintenance. Fresh graduates are welcome.

* Hands on experience in instrumentation implementation

* Knowledge of Building Automation & Process Control

* Experience in BMS / PLC / HMI process control / automation system, onsite commissioning

* Good technical skills in Allen-Bradley / Siemens PLC programming, SCADA

* Strong problem-solving and analytical skills

* Hardware configuration and software coding

* IT knowledge for Server/Client and Infrastructure

* Electrical control, instrumentations and control knowledge

* Customer orientated

* Analytical thinking

* Good communication skills for both written and spoken

* Ability to work well with others in a team environment, providing input and feedback in a helpful manner.

* Able to interact well with vendors.

* Strong team player with excellent interpersonal and communication skills, ability to work independently, Pro-active and able to work in a fast paced environment and handle multiple tasks when required.

Interested applicant please send resume with expected remuneration to [email protected]

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Perform maintenance and repair tasks on various equipment and machinery.
• Diagnose technical issues and provide solutions to ensure efficient operation.
• Conduct routine inspections to identify potential problems and prevent breakdowns.
• Install and set up new equipment according to specifications.
• Collaborate with team members to complete service tasks within deadlines.
• Maintain accurate records of service activities and performed repairs.
• Adhere to safety protocols and guidelines at all times.

Requirements:

• Diploma or Nitec in Electrical Engineering or equivalent.
• At least 1 year working experience as a service technician preferred.
• Strong technical knowledge and troubleshooting skills.
• Ability to read and interpret technical manuals and diagrams.

Interested candidates who wish to apply for the advertised position, please send in your latest resume to [email protected].

EA License No: 13C6305

Reg. No.: R1874608

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

• Responsible for the planning, coordinating and managing of all maintenance activities for all sites to ensure its operational availability
• Plan and manage manpower needs
• Develop maintenance standard operating procedures (SOP) and ensure implementation
• Analyse failures trends and implement corrective actions
• Manage and Monitor equipment inventory
• Monitor expenses and control the budget
• Manage relationships with all relevant stakeholders
• Conduct regular performance review with customers
• Ensure proper record of all documentation are kept
• Reviews procedures to modify maintenance procedures for better optimization of resources
• Train, manage and develop staff under his charge
• Ensure compliance on health and safety policies

Requirements:

• Diploma in Information Technology / Electrical Engineering or related discipline
• Good analytical, problem solving and facilitation skills
• Good planning and organizational skills
• Good communication and interpersonal skill
• Proven work experience as Operations Manager or similar role
• Knowledge of organizational effectiveness and operations management
• Proficient in Microsoft Office
• ITIL certification preferred
• Working experience in security systems or related field will be an advantage

Clarice Lim (R1656152) | Anchor Search Group Pte Ltd(17C8528)

Responsibilities

• Oversee the maintenance of production machineries, ACMV systems for building and infrastructure, office facilities, fire protection systems, and related tasks within a GMP and GHP environment.
• Plan schedules, manage daily operations, troubleshoot, repair, and provide reports.
• Coordinate with production and other maintenance teams to ensure safe execution of maintenance and modification projects while preserving facility integrity.
• Conduct mechanical and electrical assessments and implement modifications to plant facilities based on technical requirements and business needs.
• Investigate equipment issues, analyze findings, and recommend preventative measures to minimize recurrence.
• Provide training to production operators to enhance skills and reduce downtime and faults.
• Respond to plant emergencies and address machine faults promptly.
• Conduct daily inspections for machine safety and fire safety.
• Collaborate with departments to address maintenance issues promptly and prioritize planned and unplanned maintenance activities.
• Undertake additional duties as assigned by superiors.
• Maintain comprehensive records of work, ad-hoc projects, and report writing.

Requirements

• Degree in Mechanical / Mechatronic Engineering
• At least 3 years of experience in Autonomous Maintenance in F&B Manufacturing Sector
• Hands-on experience required
• Able to work independently and as a team
• Responsible, proactive and have the initially to response to fault call upon activated
• Good oral/written communication and interpersonal skills

The Client is a global aerospace company.

Responsibilities:

• Initiate and develop new repair methods for aero-engine components.
• Create and uphold work instructions for repairing aero-engine components.
• Conduct tooling design.
• Ensure adherence to OEM technical data and regulatory standards.
• Handle process certification, conduct root cause analysis, and enhance process robustness and efficiency.
• Lead and mentor the production team in repair development.
• Engage in and support ongoing improvement initiatives.
• Juggle various engineering-related responsibilities as needed.
• Abide by all company policies and safety regulations.

Requirements:

• Degree in Mechanical, Manufacturing, or Aeronautical Engineering is required.
• At least 2 to 4 years of experience in an aerospace repair and overhaul setting.
• Familiarity with repair processes like Welding (TIG/EBW), Thermal Spray, Heat Treatment, Brazing, High Pressure Water Jet Stripping, Chemical Cleaning, Shot Peening, Machining, etc., will be advantageous.
• Highly motivated professional capable of working within a cross-functional team.

About Our Client

MNC - water treatment industry, a leader in providing comprehensive solutions to address a wide array of water-related challenges. By offering end-to-end services, the company ensures seamless project execution from conception to completion

Job Description

• Design and Development: Develop electrical and instrumentation control designs for water treatment plants and related facilities.
  Create detailed schematics, wiring diagrams, and control panel layouts.
• Project Management: Manage and oversee electrical and instrumentation aspects of water treatment construction projects.
  Coordinate with project managers, construction teams, and subcontractors to ensure timely and accurate completion of projects.
• Installation and Commissioning: Supervise the installation of electrical and instrumentation systems.
  Conduct commissioning and testing of control systems to ensure proper functionality and compliance with project specifications.
• Maintenance and Troubleshooting: Provide ongoing maintenance support for electrical and instrumentation systems.
  Troubleshoot and resolve issues related to control systems, ensuring minimal downtime and optimal performance.
• Compliance and Safety: Ensure all electrical and instrumentation work complies with relevant safety standards and regulations.
  Conduct risk assessments and implement safety measures to prevent accidents and hazards.
  

The Successful Applicant

• Bachelor’s degree in Electrical Engineering, Electrical and Electronics Engineering, Control and Instrumentation, or a related field.
• At least 5 years experience with water and wastewater treatment projects is advantageous.
• Familiarity with industry standards such as NORSOK, NEK, PSA, IEC, and BS, including expertise in hazardous areas classification.
• Willingness to travel internationally (Malaysia, Philippines, Indonesia etc)

Reach out

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CSearch Pte Ltd | 24C2261
Cheryl Lee Jin Ling | R22103993

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities:

• Manage enterprise systems, emphasizing cyber security, and troubleshoot reported issues
• Coordinate with technology vendors for necessary escalations and conduct patching and updates for tools and systems
• Generate incident reports, maintain records of service level agreements for customers, and upkeep detailed technical documentation

Requirements:

• Extensive background in Operations Support
• Proficient in McAfee, Cisco, Microsoft, and Thales
• Ability to manage and execute projects in endpoint security, data loss prevention, and vulnerability management

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Interested Applicants

Please WA Bryan @ 97559161

Shortlisted candidates will be notified

Bryan Tay

Reg No. R23112463
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568